The main objective of regression testing is to ensure that new code changes do not introduce new defects or issues in the existing functionality of the software. It helps maintain the overall quality and reliability of the software.

One of the major challenges in software maintenance, especially when dealing with old and obsolete technologies, is ensuring compatibility with modern hardware. As hardware and software evolve, older technologies may no longer be supported, leading to compatibility issues.

Normalization is used in database design to improve data integrity by reducing redundancy. Redundant data can lead to anomalies and inconsistencies in the database. Normalization involves breaking down the data into smaller, related tables to minimize redundancy.

In this context, prototyping can be a solution by providing a visual representation of the project's progress. Prototypes serve as a communication tool between the development team and stakeholders, helping to clarify and align expectations. By sharing prototypes, stakeholders can gain a better understanding of the project's direction, leading to improved satisfaction and reducing misalignments in Agile projects.

Software re-engineering involves enhancing the software's maintainability, scalability, and adaptability without rewriting it entirely. This approach ensures the continuity and extended lifespan of software systems, making them easier to maintain and evolve.

White box testing primarily focuses on the internal structure and logic of the software. It is also known as structural testing, glass-box testing, or code-based testing. This technique aims to uncover issues related to code quality and implementation.

The Factory design pattern is primarily used to create objects while adhering to the object-oriented principles of single responsibility and separation of concern. It abstracts the process of object creation and allows subclasses to implement the specific details.

The Waterfall model of software evolution is primarily concerned with detecting and fixing errors and defects in the software. It follows a sequential, phase-by-phase approach, where each phase must be completed before moving on to the next. This model places a strong emphasis on rigorous testing and validation to ensure a high level of software quality.

The Code Churn metric plays a crucial role in understanding the stability and progress of a software project by tracking the frequency of code changes. A high code churn rate may indicate instability, while a stable project is characterized by lower code churn.

Software re-engineering aligns with strategic business objectives by reducing maintenance costs, improving software quality, and extending the lifespan of software systems. These benefits support organizational growth by allowing resources to be allocated to new development efforts rather than maintaining legacy software.